DSPy: A Framework for Programming—Not Prompting—Language Models
DSPy is a powerful Python framework that lets you build AI applications using structured, modular code instead of fragile prompt engineering. It helps you design, debug, and optimize LLM-based systems like classifiers, RAG pipelines, and agents more reliably.
1. I got DSPy-pilled hard lately!
DSPy (Declarative Structured Python) is a declarative framework designed to make building AI software feel like programming again—not just prompting. Instead of hardcoding prompts, you define your AI modules (e.g., chains, classifiers, or agents) using composable Python objects. DSPy compiles these into optimized prompts or model parameters automatically using built-in training algorithms. Whether you're building simple LLM tools or full production-grade pipelines, DSPy makes iteration, reuse, and debugging much easier. It’s ideal for developers tired of fragile prompt spaghetti and looking for a systematic, scalable alternative.